841 results about "Supply management" patented technology

The invention relates to the technical field of new energy supply management, in particular to a charging pile background management system and method. The method comprises the steps of obtaining photovoltaic output, an energy storage state and charging load data, completing time alignment and normalization processing, and constructing a unified data input structure; configuring a photovoltaic priority strategy and energy storage scheduling parameters based on the structure, constructing and solving a multi-energy power supply optimization model, and generating a power supply scheduling output result; combining the electricity price sequence to identify peak and valley time periods, generating an arbitrage label, and further generating an energy storage charging and discharging control strategy and an energy storage regulation and control instruction structure; issuing a control instruction, collecting execution data, and generating an energy consumption deviation feedback structure; and finally, realizing adaptive closed-loop correction of the scheduling model based on a feedback structure. According to the invention, the photovoltaic utilization rate can be improved, peak-valley arbitrage and energy storage cooperative control is realized, the power supply cost of the charging station is significantly reduced, and the system scheduling precision and operation stability are enhanced.

The invention relates to the field of energy storage power supply management, in particular to a power supply management method, system and equipment based on a household energy storage power supply system. The method comprises the following steps: collecting a household power utilization monitoring data stream, carrying out equipment use behavior preference mining and multi-scale state transition deep learning, and generating a user equipment behavior prediction model; mining power utilization behaviors of power utilization terminals one by one based on the household power utilization monitoring data flow, performing multi-time-point power utilization demand prediction based on a user equipment behavior prediction model, and constructing a multi-time-point power utilization demand prediction map of the user; and obtaining meteorological environment parameters of a current user family area, performing climate disturbance demand adjustment on the power demand prediction maps at the multiple time points based on the meteorological environment parameters, and constructing a climate disturbance power demand prediction map. According to the invention, through dynamic user demand changes, the energy efficiency management level and the energy allocation precision of long-term operation of the energy storage system are improved.

The invention provides an intelligent power supply management system based on multi-energy complementation, which relates to the technical field of intelligent power supply management and comprises a multi-energy supply module, a data acquisition module, a multi-source data fusion module, a scheduling optimization module, a demand prediction and response module, a supply safety evaluation module, an energy storage and load balancing module and an energy scheduling module. The multi-energy supply module comprises a solar energy supply sub-module, a wind energy supply sub-module, an energy storage system and a traditional power grid access sub-module, and by combining multi-source data and an advanced algorithm, the precision of power load prediction is remarkably improved. Compared with a traditional prediction method based on historical data, the method comprehensively considers the influence of various external factors such as climate change, holidays and festivals, and can more accurately predict the power demand fluctuation. The system can dynamically adjust the load prediction model in real time, improves the reliability of power supply, and can effectively cope with challenges caused by demand changes, environment changes and emergencies.

The invention discloses a power supply rapid charging pulse current regulation and control system and method based on current monitoring, and particularly relates to the technical field of power supply management. The method comprises the following steps: acquiring a pulse current signal in a battery charging process, performing nonlinear decoupling analysis, and decomposing the pulse current signal into a first characteristic sub-vector representing a real charging state of the battery and a second characteristic sub-vector representing a high-frequency harmonic interference state; predicting the change trend of the electrochemical impedance of the battery based on the first feature sub-vector to form an instant charging acceptance evaluation index, and evaluating the harmonic interference degree based on the second feature sub-vector to form a charging state misjudgment risk level index; based on the battery instant charging acceptance assessment index and the battery charging state misjudgment risk grade index, the optimal pulse current regulation and control strategy is determined, the power output parameters are adjusted in real time, the state misjudgment problem caused by high-frequency harmonic interference and electrochemical impedance coupling is effectively solved, and the battery charging performance and the long-term reliability are improved.

The invention relates to the technical field of power supply management, in particular to a flywheel energy storage and storage battery hybrid UPS coordination management system and method, and the method comprises the steps: collecting the operation state data of a flywheel energy storage unit and a storage battery unit according to a preset collection frequency; predicting flywheel energy storage and energy supply control input of a storage battery in a future time window based on the acquired running state data of the flywheel energy storage unit and the storage battery unit, and generating a corresponding control time sequence; acquiring a power supply overall efficiency parameter in the corresponding time window under the corresponding control time sequence; the control time sequence is optimized by analyzing changes of power supply overall efficiency parameters, and the charging and discharging processes of the flywheel energy storage unit and the storage battery are managed in a coordinated mode.

The invention provides a multi-mode satellite terminal power supply adaptive management method. The method comprises the following steps: S1, acquiring an operation state and resource sensing data of a satellite terminal power supply; obtaining business demand data; s2, determining a plurality of working modes corresponding to the satellite terminal power supply based on the operation state and the resource sensing data; s3, based on the plurality of working modes, determining total power consumption corresponding to the plurality of working modes; s4, determining a satellite terminal power management optimization strategy based on the total power consumption, the operation state, the resource sensing data and the service demand data; s5, adjusting a satellite terminal power supply control instruction in a corresponding working mode by adopting a satellite terminal power supply management optimization strategy; judging whether the system operation parameters of the satellite terminal power supply meet preset change conditions or not; and if yes, repeating the steps S1-S5. Signal abrupt change is responded in real time through a closed-loop feedback mechanism, the sensing and decision-making process is cyclically updated, and self-adaptive balance of energy efficiency, communication quality and battery life in a complex scene is achieved.

The invention relates to the technical field of vehicle power supply management, in particular to a vehicle load power supply distribution method, device and equipment and a storage medium, according to the scheme, a vehicle using scene at the current moment is determined by analyzing vehicle operation data, and the load levels of a plurality of electric appliances in use are determined by combining a vehicle using scene-load level mapping table; and a power supply distribution scheme is formulated, on-demand power supply for each electricity load of the vehicle is realized, and meanwhile, a user is allowed to customize load grade setting of a vehicle using scene. According to the scheme, through reasonable distribution of power supply, the power supply proportion of each load can be adjusted in real time according to the vehicle use scene on the premise of ensuring normal operation of key functions of the vehicle, so that the operation efficiency and stability of the vehicle are improved, it can be ensured that each electricity load obtains proper power supply in different scenes, the energy utilization efficiency is improved, and the energy consumption is reduced. The personalized electricity demand of the user is met, the driving experience of the user is improved, and the intelligent level of the vehicle is improved.

The invention discloses a high-throughput satellite communication terminal system, which comprises a radio frequency channel unit, a signal processing unit, a terminal processing unit, a power supply management unit and an anti-electromagnetic interference module, and is characterized in that the radio frequency channel unit carries an agile device and a power amplifier and is used for realizing bidirectional conversion between a baseband signal and a radio frequency signal; communication frequencies of a Ka frequency band, a valley value of 5GHz and a peak value of 40GHz are supported, a zero intermediate frequency receiver structure is adopted, image frequency interference is eliminated through one-time frequency conversion to a baseband, and a high-integration design that a radio frequency signal directly enters a frequency mixer after passing through an antenna, a radio frequency filter and a low-noise amplifier is realized. According to the high-throughput satellite communication terminal system, the coverage problem of traditional communication in a blind area of a power grid is solved, safe, efficient and stable transmission of power data is realized, the emergency communication capability and the equipment environment adaptability are remarkably improved, and key technical support is provided for constructing global visual monitoring and intelligent scheduling of the digital power grid.

According to the heterogeneous multi-core chip power consumption state control system and the heterogeneous multi-core chip provided by the invention, the power consumption state request of each sub power supply domain is received through the set system hardware power consumption management module, and the driving signal is sent to the corresponding sub power supply domain according to the preset hardware time sequence, so that the corresponding sub power supply domain enters the target state; generating a PMU control signal; and the power management module drives an internal voltage regulator to execute corresponding regulation operation according to the PMU control signal. A special control processor (SCP) is not needed, the system hardware power consumption management module realized by pure hardware is adopted to directly control the power consumption state of each sub power supply domain in the heterogeneous multi-core SoC, the software processing delay is eliminated, the response speed is high, the static power consumption of the power consumption management module is remarkably reduced, and the system is particularly suitable for an ultra-low power consumption scene and has a wide application prospect. And hardware-level surge current protection is realized in a multi-core power-on process.

The invention discloses a power supply intelligent management control system, and relates to the technical field of power supply management, and the system comprises a power supply processing module which is used for accessing and transmitting AC electric energy and carrying out voltage reduction, rectification filtering, inversion and transformation processing; the current sampling module is used for current sampling control, signal conversion and amplification filtering; the voltage comparison module is used for setting an overvoltage threshold value, comparing the overvoltage threshold value with the voltage and detecting the shunting degree; the power taking processing module is used for converting, amplifying and filtering the shunted sampling signals, and rectifying and storing the shunted sampling signals; the intelligent control module is used for signal receiving and module control; the electric energy adjusting module is used for adjusting voltage; and the output processing module is used for outputting filtering and electric energy superposition processing and supplying power to the output module. The intelligent management control system for the power supply can provide voltage stabilization and perform shunt power taking work and electric energy processing when a sampled signal is greater than a set threshold value, so that the safety of the system can be improved, and energy-saving power supply control can also be performed.

The invention relates to the field of harbor district power supply management monitoring, in particular to an integrated monitoring system suitable for harbor district power supply management, which comprises a power dispatching centralized control module, a monitoring module, an inspection module and an information management module for processing information transmitted by the monitoring module and the inspection module, through the information management module, the power dispatching centralized control module, the inspection module and the information management module, substation equipment operation, robot, map and other information and inspection information are obtained, and AI identification perception analysis and the Internet of Things technology are adopted; intelligent inspection functions such as main and auxiliary equipment fault signal intelligent linkage, remote inspection perception, equipment state intelligent analysis and the like are realized, the working efficiency of operation and maintenance personnel is effectively improved, the labor intensity is reduced, the safety guarantee is improved, meanwhile, the state management and control of substation equipment are enhanced, remote intelligent inspection and online monitoring of the equipment are realized, and an inspection report is issued; indirect work investment resources are reduced, and production and management efficiency is improved digitally.

The invention discloses a grease lubrication friction electricity passive wireless rotating speed sensor for bearing slip monitoring, which comprises two bearing seat cover bodies for mounting a bearing body, a friction nanometer generator, a signal processing module and a power supply management module, and is characterized in that the friction nanometer generator consists of a rotor unit and a stator unit; the inner ring surface of the bearing body is fixedly connected with a rotating shaft, and the rotating shaft can sequentially drive the bearing retainer and the rotor unit to rotate so as to output electric energy. The rotor unit and the stator unit are arranged, an interface grease lubrication strategy is utilized, the energy supply level and durability of the friction nanometer generator are improved at the same time, and wireless real-time monitoring of the slipping state of the bearing body in a compact space in a transmission system can be achieved without the help of an external power source; the working reliability and the intelligent operation and maintenance level of mechanical equipment are improved, and high-performance operation of high-end equipment is further guaranteed.

The embodiment of the invention provides an intelligent electric precipitation system. The intelligent electric precipitation system comprises a power management module, a working condition sensing module, a dynamic optimization module and a cooperative control module, the power supply management module comprises a high-frequency power supply unit and a power-frequency power supply unit, and the high-frequency power supply unit adopts a full-bridge series-parallel hybrid resonance circuit; the working condition sensing module is configured with a distributed sensor network; the dynamic optimization module establishes a multi-objective optimization model; the cooperative control module realizes a four-level control architecture; the system realizes optimal balance of dust removal efficiency and energy consumption by collecting working condition parameters in real time and dynamically adjusting working parameters of a power supply. According to the intelligent electric dust removal system, through a hybrid power supply framework, a multi-sensor network and four-stage cooperative control, the dust removal efficiency is improved, and the equipment reliability and the intelligent level are improved.

The invention relates to a ship power supply management method based on a particle swarm algorithm. The method comprises the steps of constructing a sample set R, outputting a load prediction curve function based on current data, executing genetic algorithm global coarse search, searching an elite solution set P, executing particle swarm fine search, and judging whether continuous G generations in the particle swarm fine search update an optimal solution gbest or not. According to the ship power supply management method based on the particle swarm algorithm, through cooperation of genetic algorithm global coarse search and particle swarm fine search, high-dimensional space coverage and fine optimization precision are considered, compared with a single particle swarm algorithm search mode, the efficiency is higher, multi-target weight dynamic adjustment is matched, and the power supply efficiency is improved. According to the method, the single deviation that efficiency neglects cost preferentially or cost neglects stability preferentially is avoided, and a catastrophe mechanism and a closed-loop iteration mode are adopted to adapt to ship dynamic working conditions, so that the problems that high-dimensional space search efficiency is low, local extremum is easy to sink, and multi-target optimization deviates to a single target are solved.

The invention belongs to the technical field of automobile electronic manufacturing / chip burning, relates to an automobile PMIC chip burner, a burner system and a burning method, and aims to solve the problems of high system complexity and cost, low burning efficiency, insufficient reliability, insufficient safety, low production line automation degree and the like in the existing chip burning technology. The whole burning process is directly coordinated / controlled through the main control unit, an intermediate conversion link is eliminated, and the system complexity and the equipment cost are reduced; instruction conversion is carried out through the interface conversion module so as to be compatible with various types of chips; the power supply management module adopts dual-power input, the target connection interface ensures reliable physical electrical connection with the PMIC chip, the state indication module feeds back the burning state and error information in real time, and the man-machine interaction experience is improved. The device universality and the automation degree of a production line are remarkably improved, cost is low, compatibility is high, burning efficiency is high, the device is suitable for a burning system deployed on site, and the harsh requirement for zero defect of the vehicle gauge level is met.

The utility model discloses outdoor operation equipment which comprises a battery bin with an opening, the battery bin comprises a bottom plate and a plurality of side plates arranged on the bottom plate in a surrounding mode, and at least one side plate is provided with a first terminal; the battery pack is provided with a second terminal, the battery pack is configured to be detachably assembled in the battery compartment along the opening, and when the battery pack is assembled in the battery compartment, the second terminal is in electric signal connection with the first terminal; the power management device is connected with the first terminal through a wire harness, a first voltage reduction module is arranged in the power management device, and the first voltage reduction module can obtain the voltage of the battery pack and perform voltage reduction processing; and the cooling fan is arranged on the side plate and is connected with the power supply management device through a wire harness, the cooling fan can obtain the electric energy of the battery pack subjected to the voltage reduction processing of the first voltage reduction module, and the battery pack can be cooled through the operation of the cooling fan. According to the outdoor operation equipment, wire harnesses connected to the battery bin, the cooling fan and the power management device can be saved, and the overall layout is more reasonable.

The invention discloses a motor energy-saving high-efficiency power supply management control circuit, and relates to the technical field of motor electric energy management, and the circuit comprises a frequency conversion module which can carry out multi-path frequency conversion and power supply, and when frequency conversion is stopped, an energy-saving module transmits regenerative electric energy generated by a first motor module and a second motor module to a first battery module and a second battery module, when the sum of the generated regenerative electric energy is larger than a set low-voltage threshold value and smaller than a charging threshold value, the regenerative electric energy is subjected to hybrid superposition processing, power is supplied to a first motor module through an energy-saving module, and meanwhile a detection module detects the voltage states of a first battery module and a second battery module; and according to the full-charge or low-voltage state of the first battery module and the second battery module, the energy storage state and the discharge state of the first battery module and the second battery module are controlled. The energy-saving and efficient power supply management control circuit for the motor can avoid energy waste and improve the utilization rate of electric energy and the energy-saving effect of the motor.

The invention provides a high-adaptability rotary cutter handle self-powered device which comprises a cutter handle, a stator retainer sleeving the lower portion of the cutter handle, a bearing, a rotor core, a winding, a permanent magnet, a stator core, a self-powered circuit board, a circuit board protection cavity, an inner cylinder, an inner cylinder outer ring annular disc and a taper shank straight groove spade drill cutter bar arranged at the lower end of a cutter handle body. Self power supply of the device is realized by adopting an electromagnetic induction principle, the winding on the internal rotor and the permanent magnet of the external stator are designed to cut magnetic induction lines to generate induced electromotive force, and the rotating kinetic energy of the rotating knife handle is converted into electric energy required by the intelligent knife handle, so that power is supplied to the intelligent knife handle. The power supply management circuit is arranged inside, and rectification, filtering voltage stabilization output, overload protection and the like can be carried out on voltage. An external power source and a wire are not needed for power supply and signal transmission of the device, the cutter handle and the cutter are not damaged, and conversion from a common cutter handle to an intelligent cutter handle can be achieved.

The invention discloses a detection device with a power supply self-compensation function and a compensation method thereof. The compensation method comprises the following steps: detecting whether an external power supply is switched on or not; if the external power supply is switched on, judging whether the power supply voltage of the external power supply is higher than the working voltage threshold of the sensor unit through the low-voltage detection circuit; if yes, the foot voltage control switch is switched on, the under-voltage control switch is not switched on, and an external power supply supplies power to the detector detection part; if the voltage is lower than the threshold value, the undervoltage control switch is conducted and the foot voltage control switch is not conducted, the energy storage unit charging and discharging management circuit supplies power to the energy storage voltage detection circuit to enable the energy storage unit power supply control switch to be conducted, and the power is transmitted to the detector detection component through the power supply management circuit for automatic compensation power supply; and if the external power supply is not switched on, the external power supply control switch is not switched on, and the energy storage unit does not self-discharge to supply power to the sensing unit of the detector detection part. According to the invention, automatic compensation when power supply of the detector detection part is insufficient is realized.

The invention relates to the technical field of supply management, and discloses a large-model-driven supply chain collaboration method and system. S01: dividing inherent multi-source heterogeneous data into standard data and non-standard data, S02: analyzing key semantics from the standard data and the non-standard data, S03: combining a target decision from scene schemes, S04: judging whether to execute decision correction operation, and S05: formulating a correction strategy through an intelligent correction model, and performing collaborative correction on a supply chain; according to the method, low efficiency and hysteresis of manual analysis and extraction of key semantics are avoided, the defect that a large model lacks logical reasoning and numerical calculation capabilities when processing a complex supply chain problem is avoided, and an information island phenomenon of an enterprise in a supply chain is broken; the method effectively reduces the potential risk and cooperation cost of an enterprise in the supply chain, improves the cooperation efficiency of the supply chain, and guarantees the stability and smoothness of resource scheduling in the supply chain.

The invention provides an equipment group power supply management method and system, and the method comprises the steps: a management system continuously monitors the power supply operation state and energy consumption condition of each piece of equipment, and if the deviation between the power supply operation state and energy consumption condition of each piece of equipment and the energy prediction information of each piece of equipment exceeds a monitoring threshold value, the equipment group is started; if yes, summarizing and analyzing the acquired shared information by adopting a distributed edge calculation method, updating the total energy demand and supply condition of the equipment group, and calculating to obtain an updated global optimal power management scheme; dynamically adjusting the damping factor of the equipment according to the real-time energy change rate; and adjusting a power management state adaptive switching strategy, a switching sensitivity threshold value and switching delay time of the equipment according to the power management state adaptive switching frequency, the damping factor size and the energy fluctuation tolerance dynamic state of the equipment so as to realize adaptive optimization of power management of the equipment group. And the system stability and the energy utilization efficiency are effectively balanced.

The invention relates to a power supply control circuit, a detection device, a countering device and an electronic device. The power supply control circuit comprises a main control module which outputs a state feedback signal according to an operation state. The power management module is connected with the power equipment and the main control module, and the power management module is used for converting power voltage of the power equipment into power supply voltage and outputting the power supply voltage to the main control module. And the switching circuit is respectively connected with the power supply equipment, the power supply management module and the main control module, and is used for controlling the power supply management module to stop outputting the power supply voltage under the condition that the state feedback signal does not reach the preset standard, so that the main control module is powered off. And the switching circuit is also used for controlling the power management module to output the power supply voltage again according to the received power supply voltage after the power management module is controlled to stop working, so that the main control module is restarted. By implementing the embodiment of the invention, power-off reset can be realized without manual adjustment, and convenience and practicability are improved.

The invention discloses a self-adaptive multi-phase parallel power supply management system, and relates to the technical field of intelligent regulation and control of a power system, and the system comprises a feature extraction module which is used for extracting periodicity, tendency and randomness features from historical power utilization data and real-time sensor data, determining a load sudden increase probability through a time sequence decomposition algorithm, and determining a load sudden increase probability; obtaining a load sudden increase probability value; the load prediction module is used for processing real-time load data through a multi-layer perceptron structure if the load sudden increase probability value is higher than a preset threshold value, predicting a load sudden increase peak value and duration in an hour-level or minute-level time window, and obtaining a load sudden increase prediction result; according to the self-adaptive multi-phase parallel power supply management system, multi-algorithm collaboration and real-time dynamic optimization are adopted, the operation stability and power supply continuity of a power grid are remarkably improved, and overload and voltage fluctuation risks are reduced.

The invention provides a multi-source complementary intelligent power supply management method and system in a mobile square cabin. The method comprises the following steps: collecting real-time state data of multi-type energy supply equipment, and generating a comprehensive energy management data set; based on the comprehensive energy management data set, dynamically evaluating real-time efficiency by adopting an interval optimization algorithm based on an evolutionary strategy, and generating an energy combination strategy report by applying a Markov decision process; based on the energy combination strategy report, adopting a gradient descent optimization algorithm to adjust working parameters of the multi-type energy supply equipment, and applying a real-time energy balance technology to generate an optimized energy configuration scheme; and based on the optimized energy configuration scheme, monitoring the operation condition of a power supply system, optimizing working parameters, and generating an intelligent power supply management parameter set. According to the technical scheme, the intelligent power supply management effect can be effectively improved.

The invention belongs to the field of transformer area line loss detection, and particularly discloses a transformer area line loss abnormity intelligent analysis method, which comprises the following steps: acquiring basic data; constructing and training an artificial intelligence line loss analysis model; performing anomaly detection and early warning; and a manager adjusts and optimizes a power supply strategy according to the pushed line loss analysis detection result. According to the method, the deep analysis of the line loss of the transformer area is carried out based on the artificial intelligence technology, the line loss analysis model is established by using the artificial intelligence technology, and the line loss problem is rapidly analyzed and positioned, so that the line loss analysis efficiency is improved, the manual intervention and the operation cost are reduced, and more accurate management and decision support are provided for power supply management; the labor cost of power supply line loss management can be reduced, and the working efficiency is improved.

The invention provides a power supply energy-saving circuit of a GPU server and a control method, and belongs to the field of server power supply management. The power supply energy-saving circuit comprises a power supply module used for providing a power supply for a GPU server; the power supply transmission circuit is used for transmitting the power supply of the power supply module to the target feed module; the plurality of functional units receive the power supply of the power supply transmission circuit and enter a working state; the target feed module is one or more of a plurality of functional units, the power supply transmission circuit at least comprises a first transmission path and a second transmission path, the first transmission path and the second transmission path are different from power supply input ports connected with the power supply module, a power supply output port of the first transmission path is connected to one functional unit, and a power supply output port of the second transmission path is connected to the other functional unit. The power output port of the second transmission path is connected to all the functional units at the same time. According to the power supply energy-saving circuit of the GPU server and the control method provided by the invention, the precise transmission control and time sequence management of the power supply can be realized while the cost is reduced.

The invention relates to the technical field of wireless communication, and particularly discloses a wellhead monitoring data transmission delay processing system based on wireless communication, which comprises a micro-power consumption monitoring terminal, a cloud server, a communication state monitoring module, a priority management module and a delay processing module. According to the scheme, a modular design is adopted, a plurality of units are integrated in the micro monitoring terminal, the internal units are controlled to be powered on periodically through the power supply management unit, the overall power consumption is effectively reduced, a non-contact awakening function is set, the micro monitoring terminal is suitable for sudden task response, the emergency response capability is improved, and remote management, parameter issuing and data synchronization of equipment are realized; the remote interaction capability of the monitoring terminal is effectively improved; according to the method, link sensing and retransmission strategies are combined, delay tolerance and data supplementary transmission capacity are achieved, link abnormity judgment logic is set, uploading tasks are adaptively scheduled according to the link state and the data priority, the transmission reliability is remarkably improved, and meanwhile effective management of the data life cycle is achieved.

The invention relates to the technical field of power supply management, in particular to a transient response optimization method based on a linear voltage regulator, and the method comprises the steps: obtaining transient response data of the linear voltage regulator when a load suddenly changes, and judging whether the linear voltage regulator enters a transient early warning state or not. And if entering the early warning state, carrying out high-frequency noise threshold segmentation on an output voltage waveform, extracting voltage change rate characteristics, constructing a compensation efficiency model based on dynamic response time and effective compensation bandwidth, calculating an optimal open-loop compensation coefficient, generating a compensation control instruction, and driving a compensation network to carry out dynamic compensation. And if the pre-warning state is not entered, ripple uniformity data of the output voltage is acquired, a deviation matrix of an actual ripple distribution curved surface and an ideal ripple distribution plane is determined, and whether a local ripple abnormal region exists is determined. According to the method, through dynamic monitoring and intelligent compensation, the transient response speed and stability of the linear voltage regulator are improved, and high-frequency noise processing and ripple uniformity are optimized.

The invention provides a closed air supply management method and device of an air suspension system. The method comprises the following steps: in response to a gas supply request from a client to an external load, displaying a first input control for acquiring the type of the external load; under the condition that the first input control collects the target type of the external load, a preset target gas supply standard for the external load is determined according to the target type of the external load; according to the target air supply standard, air is supplied to an external load through the air suspension system; if the gas supply time is within the gas supply time threshold value, the first prompt information is pushed to the client, so that the preset gas supply standard is provided for the external load based on the type of the external load, gas can be supplied to the connected external load in time based on the preset gas supply standard, and the gas supply efficiency is improved. The gas supply requirements of different external loads can be met, and the safety in the gas supply process is guaranteed.

The invention discloses a cable full life cycle health state prediction analysis method and system, and relates to the technical field of cable state monitoring, and the system comprises a power supply management module, a health comprehensive analysis module, and an adaptive sampling communication module. The power supply management module collects an electric parameter flow, generates an instantaneous power density sequence, and detects parameters such as a charge-discharge state, an output power failure type, energy supply reliability and the like in combination with historical and real-time data; the health comprehensive analysis module dynamically calculates a sampling power consumption budget, predicts an output energy curve and a risk level through graph time sequence fusion, and determines a recommended sampling level after correction; the adaptive sampling communication module maps a layering strategy and dynamically executes sampling and communication scheduling; the system solves the problem of adaptive sampling strategy matching in multi-node high-voltage distribution network monitoring, realizes accurate monitoring and strategy adaptation under differentiated aging, and improves the cable health management efficiency and reliability.